Evidence map›Paper›PMID 38328916›Full record

ArticleCirculation. Cardiovascular quality and outcomes2024

Cost of Cardiovascular Disease Event and Cardiovascular Disease Treatment-Related Complication Hospitalizations in the United States.

Gabriel S Tajeu, Natalia Ruiz-Negrón, Andrew E Moran, Zugui Zhang, Paul Kolm, William S Weintraub, Adam P Bress, Brandon K Bellows

Abstract read
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Gabriel S TajeuDepartment of Health Services Administration and Policy, Temple University, Philadelphia, PA (G.S.T.).ORCID 0000-0002-9982-5250
Natalia Ruiz-NegrónCollege of Pharmacy (N.R.-N.), The University of Utah, Salt Lake City.
Andrew E MoranDivision of General Medicine, Columbia University Irving Medical Center, New York, NY (A.E.M., B.K.B.).ORCID 0000-0003-3554-0085
Zugui ZhangChristiana Care Health System, Newark, DE (Z.Z.).
Paul KolmMedStar Health Research Institute and Department of Medicine, Georgetown University, Washington, DC (P.K., W.S.W.).ORCID 0000-0003-2653-5452
William S WeintraubMedStar Health Research Institute and Department of Medicine, Georgetown University, Washington, DC (P.K., W.S.W.).ORCID 0000-0002-5384-5571
Adam P BressDepartment of Population Health Sciences (A.P.B.), The University of Utah, Salt Lake City.ORCID 0000-0002-2259-5039
Brandon K BellowsDivision of General Medicine, Columbia University Irving Medical Center, New York, NY (A.E.M., B.K.B.).ORCID 0000-0003-1395-6047

Funding

Patient Level Prediction of Clinical Outcomes and Cost-Effectiveness in SPRINT (Optimize-SPRINT)R01HL139837 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRESS, ADAM P, MORAN, ANDREW EDWARD · 2018 to 2021
$3.2M
Model Based Approach to Improving Hypertension Control in PopulationsR01HL130500 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MORAN, ANDREW EDWARD · 2016 to 2019
$2.4M
Genetic ancestry and antihypertensive medication responses in African AmericansK01HL133468 · NHLBI · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2016 to 2020
$787k
Machine Learning to Reduce Hypertension Treatment Clinical InertiaK01HL151974 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI TAJEU, GABRIEL S · 2020 to 2024
$739k
Comparing the value of intensive systolic blood pressure treatment implementation strategiesK01HL140170 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BELLOWS, BRANDON K · 2018 to 2022
$709k
NHLBI NIH HHS K01 HL133468NHLBI NIH HHS K01 HL140170NHLBI NIH HHS K01 HL151974NHLBI NIH HHS L30 HL148987NHLBI NIH HHS R01 HL130500NHLBI NIH HHS R01 HL139837
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is among the costliest conditions in the United States, and cost-effectiveness analyses can be used to assess economic impact and prioritize CVD treatments. We aimed to develop standardized, nationally representative CVD events and selected possible CVD treatment-related complication hospitalization costs for use in cost-effectiveness analyses.

methodsNationally representative costs were derived using publicly available inpatient hospital discharge data from the 2012-2018 National Inpatient Sample. Events were identified using the principal

resultsThe annual mean number of hospital discharges among CVD events was the highest for heart failure (1 087 000 per year) and cerebrovascular disease (800 600 per year). The mean cost per hospital discharge was the highest for peripheral vascular disease ($33 700 [95% CI, $33 300-$34 000]) and ventricular tachycardia/ventricular fibrillation ($32 500 [95% CI, $32 100-$32 900]). Hospitalizations contributing the most to annual US health care costs were heart failure ($19 500 [95% CI, $19 300-$19 800] million) and acute myocardial infarction ($18 300, [95% CI, $18 200-$18 500] million). Acute kidney injury was the most frequent possible treatment complication (515 000 per year), and bradycardia had the highest mean hospitalization costs ($17 400 [95% CI, $17 200-$17 500]).

conclusionsThe hospitalization cost estimates and statistical code reported in the current study have the potential to increase transparency and comparability of cost-effectiveness analyses for CVD in the United States.

Indexed as

Cardiovascular DiseasesHeart FailureHealth Care CostsHospitalizationHumansPatient DischargeUnited Statescardiovascular diseasesheart failurehospitalizationmyocardial infarctionstroke

Identifiers

PMID38328916
PMCPMC11099996

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.